Exploring Biomarkers in Type 2 Diabetes Mellitus versus Normoglycemia Identified through High-Throughput Proteomics: A Systematic Review and Meta-Analysis Recent advances in proteomics have enabled the identification of early protein biomarkers and metabolic disturbances associated with type 2 diabetes (T2D), a major global health challenge. This systematic review and meta-analysis synthesize evidence from 27 studies comparing proteomic profiles of individuals with T2D and normoglycemic controls, selected from 2,422 initial records. The QUADOMICS assessment showed good methodological reporting for sample handling and proteomic analysis (>70% of studies), but over 60% lacked information on confounding clinical factors and biomarker validation. A qualitative synthesis focused on 85 recurrently reported proteins (≥8 studies), which showed strong interconnectivity and were involved in immune response, lipid–protein organization, detoxification, proteolysis, and coagulation, key pathways implicated in T2D. An omics-based meta-analysis identified seven promising protein biomarkers for T2D related to lipid/glucose metabolism (Q12907_LMAN2, P02652_POA2, P07602_PSPA, P09622_DLD); cell binding/adhesion (P12109_COL6A1, P12830_CDH1); and translational regulation and mitochondrial function (P35232_PHB). Random-effects meta-analysis revealed variation in effect sizes across studies for previously highlighted biomarkers, but three of them (P02763_ORM1, P00738_HP, P25311_AZGP1) exhibited considerable consistency. To enhance accessibility and further exploration of findings, we provide the interactive web tool metaMarkersT2D: https://jgcurras.shinyapps.io/metaMarkersT2D/.

🗄️ Dispoñible en #accesoaberto no #RUC o artigo do grupo #GAC da @fic-udc.bsky.social e @citicresearch.bsky.social
"Exploring Biomarkers in Type 2 Diabetes Mellitus versus Normoglycemia Identified through High-Throughput Proteomics".
doi.org/10.1021/acs....
hdl.handle.net/2183/47900

SynNER: syntax-infused named entity recognition in the biomedical domain AbstractObjective. This study evaluates the usefulness of explicit syntactic knowledge, integrated via a neural mechanism, in improving the accuracy of nam

🗄️ Dispoñible en #accesoaberto no #RUC o artigo do grupo #LYS e @citicresearch.bsky.social
"SynNER: syntax-infused named entity recognition in the biomedical domain". #OA
doi.org/10.1093/jami...
hdl.handle.net/2183/47894

‪
📝Dispoñible xa no #RUC en #accesoaberto o artigo do grupo #GEAMA de @Caminos_udc: "A Tracer-Aided 2D Numerical Framework to Define Fluvial and Pluvial Hazard Mapping".
#ETSECCPInvestiga #openaccess #cienciaberta
doi.org/10.1111/jfr3.13039 hdl.handle.net/2183/47871

📝Dispoñible xa no #RUC en #accesoaberto o artigo do grupo #GEAMA de @Caminos_udc: "Status of seawater intrusion in Mexico: A review".
#ETSECCPInvestiga #openaccess #cienciaberta
doi.org/10.1016/j.ejrh.2025.102189 hdl.handle.net/2183/47826

‪
📝Dispoñible xa no #RUC en #accesoaberto o artigo do grupo #CGM de @Caminos_udc: "Optimising the dosage of bio-rejuvenators in asphalt recycling: A rejuvenation index based approach".
#ETSECCPInvestiga #openaccess #cienciaberta
doi.org/10.1016/j.conbuildmat.2024.136761 hdl.handle.net/2183/47790

📝Dispoñible xa no #RUC en #accesoaberto o artigo do grupo #CULXEO da @Caminos_udc: "La mina romana de As Borreas: descripción y aproximación a su geología".
#ETSECCPInvestiga #openaccess #cienciaberta doi.org/10.17979/cadlaxe.2025.47.12805 hdl.handle.net/2183/47773

Home | Diamond Discovery Hub The Diamond Discovery Hub (DDH) provides an authoritative list of Diamond Open Access journals in Europe

🚀 A RGE xa forma parte do Diamond Discovery Hub (DDH) europeo.
A valoración positiva de @FECYT_Ciencia permitiu a inclusión neste directorio internacional de revistas de acceso aberto diamante.
🌐 Un paso máis para dar visibilidade á ciencia feita desde Galicia!
#AccesoAberto #CienciaGalega #RGE #DDH

🗄️ Dispoñible en #accesoaberto no #RUC o artigo do grupo #ISLA da @fic-udc.bsky.social e @citicresearch.bsky.social
"Comparative evaluation of deep learning architectures for bioclast classification in atomic force microscopy images". #OA
doi.org/10.1016/j.sa...
hdl.handle.net/2183/47625

🗄️ Dispoñible en #accesoaberto no #RUC o artigo do grupo #LIDIA da @fic-udc.bsky.social e @citicresearch.bsky.social
"Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach". #OA
hdl.handle.net/2183/47592
doi.org/10.3390/math...

‪🗄️Dispoñible en #accesoaberto no #RUC o artigo do grupo #LIDIA da @fic-udc.bsky.social e @citicresearch.bsky.social
"A Hybrid Metaheuristics-Bayesian Optimization Framework with Safe Transfer Learning for Continuous Spark Tuning". #OA
doi.org/10.1016/j.fu...
hdl.handle.net/2183/47590

‪🗄️Dispoñible en #accesoaberto no #RUC o artigo do grupo #RNASA-IMEDIR da @fic-udc.bsky.social e @citicresearch.bsky.social "Highly explainable predictive models with DoME for the management of DSP-related harmful algal blooms in the shellfish industry". doi.org/10.4114/intartif.vol29iss77pp78-90

🗄️Dispoñible en #accesoaberto no #RUC o artigo do grupo #IRLab da @fic-udc.bsky.social e @citicresearch.bsky.social "LabChain: Enabling reproducible and modular scientific experiments in Python". doi.org/10.1016/j.softx.2026.102543 hdl.handle.net/2183/47431

🗄️Dispoñible en #accesoaberto no #RUC o artigo do grupo #VARPA e #M2NICA da @fic-udc.bsky.social
"Service-Learning in Assistive Communication for ALS Patients: Bridging Technology and Inclusion".
hdl.handle.net/2183/47354
doi.org/10.58909/adc...

🗄️Dispoñible en #accesoaberto no #RUC o artigo do grupo #VARPA da @fic-udc.bsky.social e @citicresearch.bsky.social "Detecting, characterizing and visualizing multiple sclerosis in optical coherence tomography through biomarker selection".
doi.org/10.1016/j.bbe.2026.01.005 hdl.handle.net/2183/47306

CompactLTJ: Space & Time Efficient Leapfrog Triejoin on Graph Databases - The VLDB Journal Leapfrog Triejoin (LTJ) is arguably the most practical and popular worst-case-optimal (wco) algorithm for solving basic graph patterns in graph databases. Its main drawback is that it needs the databa...

🗄️ Dispoñible en #accesoaberto no #RUC o artigo do grupo #LBD da @fic-udc.bsky.social e @citicresearch.bsky.social
"CompactLTJ: Space & Time Efficient Leapfrog Triejoin on Graph Databases". #FICInvestiga #OA

doi.org/10.1007/s007...
hdl.handle.net/2183/47318

🗄️Dispoñible en #accesoaberto no #RUC o artigo do grupo #GTEC da @fic-udc.bsky.social e @citicresearch.bsky.social "Pixel-Based CF-mMIMO: Addressing the AP Cooperation Cluster Formation in Fronthaul-Limited O-RAN Architectures". #FICInvestiga
handle.net/2183/47303 doi.org/10.1109/TCOMM.2025.3646853

🗄️ Dispoñible en #accesoaberto no #RUC o artigo do grupo #MALL da @fic-udc.bsky.social & @citicresearch.bsky.social
"Exploiting the Synergy between Computational and Experimental Biophysics for Efficient Cancer Drug Development".
#OA
doi.org/10.1016/j.ej...
hdl.handle.net/2183/47295

🗄️ Dispoñible en #accesoaberto no #RUC o artigo do grupo #IRlab da @fic-udc.bsky.social & @citicresearch.bsky.social
"Decoding Hate: Exploring Language Models' Reactions to Hate Speech".
#OA
doi.org/10.18653/v1/...
hdl.handle.net/2183/47249

🗄️ Bo día! Está dispoñible en #accesoaberto no #RUC o artigo do grupo #RNASA-IMEDIR da @fic-udc.bsky.social &
@citicresearch.bsky.social
"Network traffic foundation models: A systematic review".
#OA
doi-org.accedys.udc.es/10.1016/j.co...
hdl.handle.net/2183/47246

🗄️ Tamén está dispoñible en #accesoaberto no #RUC o artigo do grupo #LIDIA da @fic-udc.bsky.social
"Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies".
#OA
doi.org/10.1111/exsy...
hdl.handle.net/2183/47231

🗄️ Dispoñible en #accesoaberto no #RUC o artigo do grupo #LIDIA da @fic-udc.bsky.social & @citicresearch.bsky.social
"From Raw Feeds to Curated Clips: A Modular AI Framework for Sports Highlight Production".
#OA
doi.org/10.3233/FAIA...
hdl.handle.net/2183/47222

🗄️ Dispoñible en #accesoaberto no #RUC o artigo de #VARPA da @fic-udc.bsky.social&@citicresearch.bsky.social
"Novel Hybrid Machine Learning Framework for High-Fidelity Prediction of Fly Ash-Based Geopolymer Concrete Strength".
#OA
hdl.handle.net/2183/47213, doi.org/10.1016/j.compstruct.2025.119906

🗄️ Xa dispoñible en #accesoaberto no #RUC o traballo de #IRLab da @fic-udc.bsky.social e @citicresearch.bsky.social
"TalkDep: Clinically Grounded LLM Personas for Conversation-Centric Depression Screening"
#FICinvestiga #cienciaaberta #OA
hdl.handle.net/2183/47211 doi.org/10.1145/3746252.3761617

🗄️ Xa dispoñible en #accesoaberto no #RUC o artigo de #GTEC da @fic-udc.bsky.social e @citicresearch.bsky.social "Bluetooth 5 power consumption for an opportunistic edge computing system based on low-power IoT devices"
#FICinvestiga #cienciaaberta #OA
handle.net/2183/47194 doi.org/10.1016/j.io...

🗄️ Xa dispoñible en #accesoaberto no #RUC o artigo de #IRlab da @fic-udc.bsky.social e @citicresearch.bsky.social
"WATCHED: A Web AI Agent Tool for Combating Hate speech by Expanding Data" #FICinvestiga #cienciaaberta #OA
doi.org/10.1016/j.so...
hdl.handle.net/2183/47077

¿Es el conocimiento un bien común de la humanidad? - InfoCLACSO YouTube video by CLACSO TV

▶ É ocoñecemento un ben común da humanidade?

🗣 @pilaricocastro.bsky.social, responsable da Unidad de #CienciaAbierta de #FECYT, responde no marco da Semana Internacional do #AccesoAberto.

👉 www.youtube.com/live/21Fc3lF...

🗄️ Dispoñible en #accesoaberto no #RUC o artigo do #GrupoGTEC da @fic-udc.bsky.social e @citicresearch.bsky.social
"Hands-On Blockchain Teaching and Learning: Integrating IPFS and Oracles Through Open-Source Practical Use Cases" #FICinvestiga
handle.net/2183/45962
doi.org/10.3390/educsci15091229

🗄️ Dispoñible xa en #accesoaberto no #RUC o recente artigo do #GrupoLBD da @fic-udc.bsky.social: "Systematic Mapping of AI-Based Approaches for Requirements Prioritization #FICinvestiga #OA #cienciaaberta
hdl.handle.net/2183/45959
doi.org/10.1049/sfw2...

🗄️ Dispoñible xa en #accesoaberto no #RUC o recente artigo do #GrupoGTEC da @fic-udc.bsky.social : "Joint Beam Steering and Direct Antenna Multimodulation Using Time-Modulated Arrays" #FICinvestiga #OA #cienciaaberta
hdl.handle.net/2183/45935
doi.org/10.1109/JIOT...

DepreSym: A Depression Symptom Annotated Corpus and the Role of Large Language Models as Assessors of Psychological Markers - Language Resources and Evaluation Computational methods for depression detection aim to mine traces of depression from online publications posted by Internet users. However, solutions trained on existing collections exhibit limited generalisation and interpretability. To tackle these issues, recent studies have shown that identifying specific depressive symptoms can lead to more robust and effective models. The eRisk initiative fosters research on this area and has recently proposed a new ranking task focused on developing search methods to find sentences related to depressive symptoms. This search challenge relies on the symptoms specified by the Beck Depression Inventory-II (BDI-II), a questionnaire widely used in clinical practice. It includes symptoms such as sadness, irritability or lack of sleep. Given the input submitted by systems participating in eRisk, we first apply top-k pooling over the systems’ relevance rankings, obtaining a diverse set of sentences. These sentences are judged for relevance, leading to DepreSym, a dataset consisting of 21,580 sentences annotated according to their relevance to the 21 BDI-II symptoms. This dataset serves as a valuable resource for advancing the development of models that monitor depression markers. Due to the complex nature of this relevance annotation, we designed a robust assessment methodology carried out by three expert assessors, including a trained psychologist. As part of this study, we explore the potential of recent Large Language Models (ChatGPT, GPT4 and Vicuna) as assessors in this complex task. We undertake a comprehensive examination of the LLMs’ performance, studying their main limitations and analysing their role as a complement or replacement for human annotators. Finally, we incorporate our dataset into the Benchmarking Information Retrieval (BEIR) framework for a thorough search evaluation. We use state-of-the-art retrieval systems, including lexical, sparse, dense and re-ranking architectures, to gain insights about the dataset’s complexity and identify potential avenues for improvement.

🗄️ Dispoñible xa en #accesoaberto no #RUC o recente artigo do #GrupoIRlab da @fic-udc.bsky.social : "DepreSym: A Depression Symptom Annotated Corpus and the Role of Large Language Models as Assessors of Psychological Markers" #FICinvestiga #OA
hdl.handle.net/2183/45934
doi.org/10.1007/s105...